Renewable Energy System Compact Modeling (RESCOM)

• Unité de recherche: INNOSUISSE
• Numéro de projet: 9828.2;9 PFIW-IW
• Titre du projet anglais: Renewable Energy System Compact Modeling (RESCOM)

Description succincte (Allemand)

Renewable Energy System Compact Modeling (RESCOM)

Description succincte (Anglais)

Renewable Energy System Compact Modeling (RESCOM)

Résumé des résultats (Abstract) (Allemand)

In this project a model-based data mining approach is applied to develop and calibrate a comprehensive and compact model for renewable energy heating systems. The physics-based simulation tool Polysun serves as a forward solver in this project and, with its broad customer range, to disseminate research results after the project. Using symbolic regression and genetic algorithms, a new scheme is developed, which outperforms every other model in terms of computational efficiency and accuracy. The ultimate goal is then to implement a real-time design feature into Polysun, which allows a large user range to do close-to-reality yet efficient system optimizations for solar energy and heat pump applications.

Résumé des résultats (Abstract) (Anglais)

In this project a model-based data mining approach is applied to develop and calibrate a comprehensive and compact model for renewable energy heating systems. The physics-based simulation tool Polysun serves as a forward solver in this project and, with its broad customer range, to disseminate research results after the project. Using symbolic regression and genetic algorithms, a new scheme is developed, which outperforms every other model in terms of computational efficiency and accuracy. The ultimate goal is then to implement a real-time design feature into Polysun, which allows a large user range to do close-to-reality yet efficient system optimizations for solar energy and heat pump applications.